Triple
T7917882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubangian languages |
E183872
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Mba language |
E270023
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mba language | Statement: [Ubangian languages, hasMember, Mba language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mba language Context triple: [Ubangian languages, hasMember, Mba language]
-
A.
Mba languages
chosen
Mba languages are a small group of closely related Adamawa–Ubangi (Niger–Congo) languages spoken primarily in the Central African Republic and neighboring regions.
-
B.
Mambae language
The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
-
C.
Maba language
The Maba language is an Afro-Asiatic language spoken primarily by the Maba people in eastern Chad and neighboring regions.
-
D.
Maba language
The Maba language is an Austronesian language spoken in eastern Indonesia, particularly in the Halmahera region of North Maluku.
-
E.
Maban languages
Maban languages are a small group of closely related Nilo-Saharan languages spoken primarily in eastern Chad and western Sudan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a8fbbb48190b50def4941761a31 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc563cb0a081909ed43ff45a8a1fa0 |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:05 p.m.